Vector registers implemented in memory

ABSTRACT

Systems and methods related to implementing vector registers in memory. A memory system for implementing vector registers in memory can include an array of memory cells, where a plurality of rows in the array serve as a plurality of vector registers as defined by an instruction set architecture. The memory system for implementing vector registers in memory can also include a processing resource configured to, responsive to receiving a command to perform a particular vector operation on a particular vector register, access a particular row of the array serving as the particular register to perform the vector operation.

PRIORITY INFORMATION

This application is a Continuation of U.S. application Ser. No.16/156,808, filed Oct. 10, 2018, which will issue as U.S. Pat. No.11,175,915 on Nov. 16, 2021, the contents of which are included hereinby reference.

TECHNICAL FIELD

The present disclosure relates generally to memory, and moreparticularly, to apparatuses and methods associated with vectorregisters implemented in memory.

BACKGROUND

Memory devices are typically provided as internal, semiconductor,integrated circuits in computers or other electronic devices. There aremany different types of memory including volatile and non-volatilememory. Volatile memory can require power to maintain its data andincludes random-access memory (RAM), dynamic random access memory(DRAM), and synchronous dynamic random access memory (SDRAM), amongothers. Non-volatile memory can provide persistent data by retainingstored data when not powered and can include NAND flash memory, NORflash memory, read only memory (ROM), Electrically Erasable ProgrammableROM (EEPROM), Erasable Programmable ROM (EPROM), and resistance variablememory such as phase change random access memory (PCRAM), resistiverandom access memory (RRAM), and magnetoresistive random access memory(MRAM), among others.

Memory is also utilized as volatile and non-volatile data storage for awide range of electronic applications. Non-volatile memory may be usedin, for example, personal computers, portable memory sticks, digitalcameras, cellular telephones, portable music players such as MP3players, movie players, and other electronic devices. Memory cells canbe arranged into arrays, with the arrays being used in memory devices.

Various computing systems include a number of processing resources thatare coupled to memory (e.g., a memory system), which is accessed inassociation with executing a set of instructions (e.g., a program,applications, etc.). The number of processing resources can access datastored in the memory.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of a computing system including a memorysystem and capable of mapping registers implemented in an array ofmemory cells in accordance with a number of embodiments of the presentdisclosure.

FIG. 2 is a block diagram of a memory bank capable of mapping registersimplemented in an array of memory cells in accordance with a number ofembodiments of the present disclosure.

FIG. 3 is a block diagram of a mapping of map registers to vectorregisters in accordance with a number of embodiments of the presentdisclosure.

DETAILED DESCRIPTION

The present disclosure includes apparatuses and methods related tomapping registers implemented in an array of memory cells. An examplesystem can include an array of memory cells, where a plurality of rowsin the array serve as a plurality of vector registers as defined by aninstruction set architecture. The example system can also include aprocessing resource configured to, responsive to receiving a command toperform a particular vector operation on a particular vector register,access a particular row of the array serving as the particular registerto perform the vector operation.

Computing systems can include registers which correspond to a hostand/or a processing resource such as a central processing unit (CPU).Registers store data to fulfil requests for the data in a smallerduration of time than if the data is retrieved from memory. For example,a processing resource may access data stored in registers local to theprocessing resource in a smaller duration of time than a time used toaccess data from memory. Accessing data from a memory device may includetransferring the data through a bus which may increase the duration usedto retrieve the data as compared to retrieving the data from registers,where the bus couples a processing resource accessing the data to thememory device. Data may be retrieve faster from registers than frommemory resources such as a dynamic random-access memory (DRAM) array. Assuch, it may be beneficial to implement registers local to processingresources.

Implementing registers local to a processing resource can include movingdata from the memory array to the registers. Moving data from the memoryarray to the registers can take longer than utilizing the array itselfas registers. Implementing registers local to the processing resourcecan also increase the cost of manufacturing the processing resource.

In a number of examples, rows of an array can serve as respectiveregisters, which can provide benefits such as reducing the cost ofmanufacturing registers external from the array and/or can improvesystem operation by reducing the time associated with moving databetween the array and external registers. For example, particular rowsof memory cells in an array of a memory device can be utilized asrespective vector registers. Each row can be mapped to a specific vectorregister. The mapping can be performed with or without map registers.

Vector registers can be utilized by a processing resource local to thememory device or a processing resource external to the memory device toaccess data. The processing resource local to the memory device can be aprocessing in memory (PIM) processing resource, a bank controller,and/or an application processor, for example.

In the examples described herein, the processing resource external tothe memory resource and the processing resource local to the memoryresource can share a same instruction set. For example, the externalprocessing resource and the internal processing resource can share aninstruction set architecture (ISA). Sharing an ISA provides the externalprocessing resource the ability to provide instructions to the internalprocessing resource that the external processing resource could itselfexecute. Implementing vector registers in an array using the mapregisters facilitates the use of a shared instruction set given thatreferences to the registers can be executed by both the externalprocessing resource and/or the internal processing resource using alimited set of map registers without having the added cost ofimplementing registers in the memory system.

In some examples, the vector registers can be implemented without theuse of map registers. The mapping between vector registers and row ofthe array can be hard coded into the memory device. Hard coded mappingscan map vector registers to rows without providing the ability toreassign vector registers to different rows.

In the following detailed description of the present disclosure,reference is made to the accompanying drawings that form a part hereof,and in which is shown by way of illustration how a number of embodimentsof the disclosure may be practiced. These embodiments are described insufficient detail to enable those of ordinary skill in the art topractice the embodiments of this disclosure, and it is to be understoodthat other embodiments may be utilized and that process, electrical,and/or structural changes may be made without departing from the scopeof the present disclosure. As used herein, the designator “N” indicatesthat a number of the particular feature so designated can be includedwith a number of embodiments of the present disclosure.

As used herein, “a number of” something can refer to one or more of suchthings. For example, a number of memory devices can refer to one or moreof memory devices. A “plurality” of something intends two or more.Additionally, designators such as “N,” as used herein, particularly withrespect to reference numerals in the drawings, indicates that a numberof the particular feature so designated can be included with a number ofembodiments of the present disclosure.

The figures herein follow a numbering convention in which the firstdigit or digits correspond to the drawing figure number and theremaining digits identify an element or component in the drawing.Similar elements or components between different figures may beidentified by the use of similar digits. As will be appreciated,elements shown in the various embodiments herein can be added,exchanged, and/or eliminated so as to provide a number of additionalembodiments of the present disclosure. In addition, the proportion andthe relative scale of the elements provided in the figures are intendedto illustrate various embodiments of the present disclosure and are notto be used in a limiting sense.

FIG. 1 is a block diagram of a computing system 100 including a memorysystem 116 and capable of mapping registers implemented in an array ofmemory cells in accordance with a number of embodiments of the presentdisclosure. The computing system 100 includes a host 103 and the memorysystem 116. The host 103 includes a processing resource 102 among otherpossible devices such as registers (not shown). The memory system 116includes map registers 106, a processing resource 108, and a memoryarray 110, among other possible devices.

As used herein, an “apparatus” can refer to, but is not limited to, avariety of structures or combinations of structures, such as a circuitor circuitry, a die or one or more die, a device or devices, or a systemor systems. For example, system 100, the processing resource 102, themap registers 106, the processing resource 108, the memory array 110,and/or the memory system 116 may separately be referred to as an“apparatus.”

The memory system 116 includes a number of memory devices, one of whichis shown. The memory devices can comprise a number of physical memory“chips,” or die which can each include a number of arrays (e.g., banks)of memory cells and corresponding support circuitry (e.g., addresscircuitry, I/O circuitry, control circuitry, read/write circuitry, etc.)associated with accessing the array(s) (e.g., to read data from thearrays and write data to the arrays). As an example, the memory devicescan include a number of DRAM devices, SRAM devices, PCRAM devices, RRAMdevices, FeRAM, phase-change memory, 3DXP, and/or Flash memory devices.The memory device can also comprise a single physical memory “chip” ordie which can include a number of arrays (e.g., banks) of memory cellsand corresponding support circuitry (e.g., address circuitry, I/Icircuitry, control circuitry, read/write circuitry, etc.) associatedwith accessing the array(s) (e.g., to read data from the arrays andwrite data to the arrays). In a number of embodiments, the memory system116 can serve as main memory for the computing system.

In this example, the computing system 100 includes the host 103 coupledto the memory system 116 via a bus 105. The computing system 100 can bea laptop computer, personal computers, digital camera, digital recordingand playback device, mobile telephone, PDA, memory card reader,interface hub, sensor, Internet-of-Things (IoT) enabled device, amongother systems, and the processing resource 102 can be a number ofprocessing resources (e.g., one or more processors) capable of accessingthe array via the processing resource 108. The host 103 may beresponsible for execution of an operating system (OS) and/or variousapplications that can be loaded thereto (e.g., from the memory system116 and/or the processing resource 108).

The processing resource 108 can also include a state machine, asequencer, and/or some other type of control circuitry, which may beimplemented in the form of an application specific integrated circuit(ASIC) coupled to a printed circuit board. The processing resource 108can be a controller such as a bank controller. A bank controller can, insome examples, perform vector operations on data stored in the array 110using the map registers 106. The vector operations can be received fromthe host 103 and/or can be retrieved from the array 110. The bankcontroller can perform multiple types of operations including vectoroperations, read operations, and write operations, among other types ofoperations.

In some instances, the host 103 and/or the processing resource 108 canbe an application processor. The application processor can be on a samememory die as the memory system 116.

In some examples, the memory device 116 can be a PIM device capable ofperforming processing. The PIM device can perform processing in additionto or instead of the processing performed by the processing resource102. For example, the memory device 116 can include a processingresource in the sensing circuitry of the array 110 as shown in FIG. 2.The PIM device can perform processing functions without moving data outof the array 110 and/or the sensing circuitry.

As used herein, vector operations include operations performed using aplurality of values. For example, a vector addition operation canperform multiple addition operations concurrently using multiple datavalues. For instance, a vector addition operation can include a firstaddition operation and a second addition operation. The first additionoperation can be performed using a first data value and a second datavalue while the second addition operation can be performed using a thirddata value and a fourth data value. Vector operations are not to belimited to addition operations and/or subtraction operations but caninclude logical operations including addition operations, subtractionoperations, multiplication operations, division operations, and/orinversion operations, among other types of logical operations. Thelogical operations can also include bitwise operations includingconjunction operations (e.g., AND operations) and/or disjunctionoperations (e.g., OR operations), among other bitwise operations.

As used herein, a value (e.g., data value) can include a grouping of oneor more bits. Multiple values can be combined into a vector. Forexample, a vector of data can include 513 values where each of the 513values is defined utilizing 32 bits. In some examples, the vector ofvalues can be the grouping of multiple values into a single vector.

The read and write operations can be used to manipulate data stored inthe array 110. For example, a read operation can transfer data from thearray 110 to the processing resources 102 and/or 108. A write operationcan store data received by the processing resources 102 and/or 108,where the data is stored in the array 110.

The processing resource 108 can perform logical operations and/or vectoroperations utilizing the data stored in the memory array 110 in vectorregisters. For instance, the processing resource 102 can provideinstructions to the processing resource 108 through the bus 105. Theinstructions can identify a logical operation to perform by referencingone or more vector registers that store vector data. A vector registercan comprise a plurality of memory cells of the array 110.

The map registers 106 can map memory cells to identifications (IDs) ofthe vector registers such that references to the vector register can beresolved to memory cells of the array 110. In some examples, the logicaloperation can reference vector registers which store the data. Forexample, the logical operation can be an addition operation whichreferences a first vector register and a second vector register using afirst register identifier and a second register identifier. Referencesto the registers can be resolved utilizing the map registers 106 m, thefirst register identifier, and/or the second register identifier. Forexample, the first register can be associated with the first mapregister through the first register identifier and the second registercan be associated with the second map register through the secondregister identifier.

The first map register can store a first memory address of the array 110which identifies a first row of memory cells that store a first vectorvalue. A row of memory cells can include a plurality of memory cellscommonly coupled to an access line of the memory array 110. The secondmap register can store a second memory address of the array 110 whichidentifies a second row of memory cells that store a second vectorvalue.

The processing resource 108 can retrieve the first value and the secondvalue utilizing the first memory address and the second memory addressretrieved from the map registers 106. The processing resource 108 canutilize the first value and the second value to perform the additionoperation.

In some examples, the processing resource 102 can provide vector data tobe stored in vector registers of the memory system 116. The vector datacan be transferred between the host 103 and the memory system 116 overinterfaces which can comprise physical interfaces such as buses (e.g.,bus 105), for example, employing a suitable protocol. Such protocol maybe custom or proprietary. The bus 105 may employ a standardizedprotocol, such as Peripheral Component Interconnect Express (PCIe),Gen-Z, CCIX, or the like. As an example, the bus 105 may comprisecombined address, command, and data buses or separate buses forrespective address, command, and data signals.

The map registers 106 can store a number of bits which are fewer inquantity than the bits stored in the registers corresponding to theprocessing resource 102. The map registers 106 can store memoryaddresses corresponding to the array 110. In some examples, the memoryaddresses stored in the map registers 106 can identify a single memorycell or multiple memory cells. For instance, the map registers 106 canutilize 16 bits to store a memory address. Although, the map registers106 can utilize more or fewer bits to store memory addresses.

The map registers 106 can be associated with a vector register ID. Forexample, a first map register can store a memory address and can beassociated with a vector register ID. The map registers 106 can mapvector register ID, and by extension vector registers, to memory cellsof the array 110. The mapping of vector registers to the memory cellsprovides access to the memory cells as vector registers without theadded expense of implementing the memory cells and the vector registersseparately.

In some examples, the map registers 106 can comprise a single mapregister or multiple map registers. In instances utilizing a single mapregister, the map register can store an address of memory cells thatstore vector data. The processing resource 108 can extract a firstmemory address from a map register. The processing resource 108 canextract vector data from a first group of memory cells having the firstmemory address. The processing resource 108 can then execute the vectoroperations utilizing the vector data.

The processing resource 108 can be configured to perform logicaloperations and/or vector operations. The processing resource can beconfigured to perform vector operations, for example, utilizing anextension to core capabilities implemented by the processing resource108.

FIG. 2 is a block diagram of a memory bank 220 capable of mappingregisters implemented in an array of memory cells in accordance with anumber of embodiments of the present disclosure. The memory bank 220includes a processing resource 208, mapping registers 206, and a memoryarray 210. The map registers 206, the processing resource 208, and thememory array 210 are analogous to the map registers 106, the processingresource 108, and the memory array 110 in FIG. 1.

In this example, the memory array 210 is a DRAM array of 1T1C (onetransistor one capacitor) memory cells 270-0, . . . , 270-M, 271-0, . .. , 271-M, 272-0, . . . , 272-M, 273-0, . . . , 273-M, . . . , 27N-0,27N-M (e.g., referred to as memory cells 270), each comprised of anaccess device 224 (e.g., transistor) and a storage element 226 (e.g., acapacitor).

In a number of embodiments, the memory cells 270 are destructive readmemory cells (e.g., reading the data stored in the cells destroys thedata such that the data originally stored in the cells is refreshedafter being read). The memory cells 270 can also be non-destructive readmemory cells (e.g., reading the data stored in the cells does notdestroy the data). As such, the memory cells 270 can be volatile ornon-volatile memory cells.

The memory cells 270 are arranged in rows coupled by access lines 228-0(Row0), 228-1 (Row1), 228-2 (Row2), 228-3 (Row3), . . . , 228-N (RowN)(e.g., referred to collectively as access lines 228) and columns coupledby sense lines (e.g., digit lines) 222-0 (D), 222-1 (D_), 222-M (D),222-M+1 (D_) (e.g., referred to collectively as sense lines 222). In anumber of embodiments, the array 210 can include address spaces that arecoupled to separate circuitry.

The access lines may be referred to herein as word lines or selectlines. The sense lines may be referred to herein as digit lines or datalines.

In this example, each column of cells is associated with a pair ofcomplementary sense lines such as complementary sense lines 222-0 (D)and 222-1 (D_). The structure illustrated in FIG. 2 may be used toprovide many complimentary sense lines 222, access lines 228 and/ormemory cells 270. Although only four columns of memory cells 270 areillustrated in FIG. 2, embodiments are not so limited. For instance, aparticular array may have a number of columns of cells and/or senselines (e.g., 4,096, 8,192, 16,384, etc.). In FIG. 2, memory cells 270-0to 27N-0 are coupled to sense line 222-0. Although the memory cell 27N-0shows the variable N in the ones place, it is to be understood that thememory cell 27N-0 can be any number greater than 270-0. A gate of aparticular cell transistor 224 is coupled to its corresponding accessline from the access lines 228-0 to 228-N (e.g., referred tocollectively as access lines 228), a first source/drain region iscoupled to its corresponding sense line 222-0, and a second source/drainregion of a particular cell transistor is coupled to its correspondingcapacitor (e.g., capacitor 226). Although not illustrated in FIG. 2, thesense lines 222-1 and 222-M+1, may also have memory cells coupledthereto.

In a number of examples, memory cells 270 that are coupled to sense line222-0 can store bits. The bits can represent a logical representation ofa value and/or a number of values. For example, a first value can berepresented by a three bit-vector that can be stored in memory cell270-0, memory cell 270-1, and memory cell 270-2 along access line 228-0.In a number of examples, a bit-vector can be represented by more orfewer bits than those discussed in FIG. 2. Other examples bit-vectorscan be represented by a 4-bit vector, an 8 bit-vector, a 16 bit-vector,and/or a 32 bit-vector, among other bit-vector dimensions. In a numberof examples, each bit-vector representation of a value can be storedhorizontally along access lines 228 as opposed to vertically along senselines 222.

In some instances, the memory cells coupled to an access line 228-0 andto a number of sense lines (e.g., sense line 222-0 to sense line222-M+1) can be activated in parallel. Furthermore, memory cell 270-0,memory cell 270-1, memory cell 270-2, memory cell 270-3 can also beactivated in parallel. In a number of examples, independently addressedaccess lines 228 and/or sense lines 222 can be activated in parallel toactivate a number of memory cells in parallel.

The memory array 210 can also comprise sensing components 230-1 to230-M, which may be referred to generally as sensing components 230. Thesensing components 230 can also be referred to as sensing circuitry.FIG. 2 also shows the sensing components 230 coupled to the memory array210. The sensing component 230-0 is coupled to the complementary senselines D, D_ corresponding to a particular column of memory cells and thesensing component 230-M is coupled to complementary sense lines. Thesensing component 230 can be operated to determine a state (e.g., logicdata value) stored in a selected cell (e.g., memory cells 270).Embodiments are not limited to a given sensing amplifier architecture ortype. For instance, sensing circuitry, in accordance with a number ofembodiments described herein, can include current-mode sense amplifiersand/or single-ended sense amplifiers (e.g., sense amplifiers coupled toone sense line). The sensing circuitry can also include computecomponents. For example, the sensing circuitry 230 can include senseamplifiers and compute components such that each of the sensingcomponents 230 can serve as a 1-bit processing element of a processingresource.

A sense amplifier of the sensing components 230-0 can comprise a firstlatch and the compute component of the sensing component 230-0 cancomprise a second latch. The first latch and the second latch can beused to perform logical operations including vector operations. Theprocessing resource can be a controller and the sensing components 230can serve as the processing resource performing vector operations on thevector registers.

In a number of examples, the processing resource 208 can receive acommand to access data from a register such as a vector register. Thecommand can be received from a processing resource local to a hostand/or external to the bank 220. The command can instruct the processingresource 208 to initiate an execution of a number of logical operations.The specific logical operations to be executed can be stored in thememory array and/or can be provided by the host.

The processing resource 208 can identify a map register corresponding toa vector register. In some examples, the processing resource 208 canidentify a map register utilizing an ID of the vector register. Forinstance, each of the map registers 206 can be associated with adifferent vector register ID. The processing resource 208 can store atable that maps vector register IDs to map registers 206. In someexamples, the mapping between vector register IDs and map registers 206can be stored in the array 210.

In other examples, the processing resource 208 can identify a mapregister based on a default setting. For example, the processingresource 208 can identify a same map register each time the command isreceived. The default map register can store a memory addresscorresponding to a plurality of memory cells that store vector data touse as an operand in a vector operation.

The processing resource 208 can retrieve a memory address from the mapregister, wherein the address identifies a row of memory cells from thearray and wherein the row of memory cells is coupled to a plurality ofsense lines and an access line (e.g., select line). For example, theprocessing resource 208 can retrieve a memory address corresponding tothe memory cells 270-0 to 270-M. The memory address can identify a rangeof memory addresses by, for example, providing a base memory address andan offset. The memory address can also identify a row of memoryaddresses such as by identifying the Row 0 and/or an access line 228-0to which the memory cells 270-1 to 270-M are coupled to. As used herein,the use of a row is not intended to identify physical orientation butrather an organizational orientation such that a row and/or a row ofmemory cells identifies memory cells coupled to a particular accessline.

The processing resource 208 can then retrieve the data from the array ofmemory cells using the memory address. For example, the processingresource can retrieve vector data from the memory cells 270-0 to 270-Musing the memory address retrieved from the map registers 206.

Mapping a given register to memory cells of the memory array 210utilizing the map registers 206 provides the ability to utilize thememory cells as a register such as a vector register. The mapping allowsmultiple registers to be implemented the memory array 210. The mappingfurther provides the ability to create and delete registers as needed,by mapping to additional addresses or fewer addresses. Although in someexamples, the quantity of registers can be fixed by the ISA.

Mapping to memory cells further provides the ability to move datawithout physically moving data between vector registers implementedutilizing the memory array 210. For example, if vector data is stored ina first register implemented in a first Row (e.g., Row 0) of the memoryarray 210 and if the result of the execution of a vector operationutilizing the vector data is stored in a second Row (e.g., Row 1) of thememory array 210, then the result of the execution of the vectoroperation can be moved from the first vector register to the secondvector register by replacing a first memory address, corresponding tothe first Row, stored in a map register with a second memory addresscorresponding to the second Row. That is, the result does not have to bemoved from one group of memory cells to a different group of memorycells to move the result from one vector register to a different vectorregister. The result of the vector operation can be stored a single timein a group of memory cells and the address corresponding to the group ofmemory cells can be manipulated by storing it in the map registers to“move” the result.

The map registers 206 provide a mapping of the memory cells to vectorregisters. An example mapping is provided in FIG. 3.

Responsive to executing the vector operation, the processing resource208 can execute further vector operations, for example, by receiving anID of a next vector register that stores the vector data. The host canprovide additional vector commands and/or can identify a location in thearray 210 that stores the vector commands.

In some examples, the processing resource 208 can access vector data toperform non-vector operations. The vector data can be accessed, forexample, as part of a read operation and/or a write operation.

FIG. 3 is a block diagram of a mapping of map registers to vectorregisters in accordance with a number of embodiments of the presentdisclosure. FIG. 3 includes the memory array 310. FIG. 3 also includesvector register IDs 332-1, . . . , and 332-32, referred to as vectorregister IDs 332, and map registers 306-1, . . . , 306-32, referred toas map registers 306. The vector register IDs can be obtained, forexample, from logical operations, directly from a processing resourceexternal to a bank, and/or from the array 310. In some examples, thevector register IDs can include vector address as defined by the ISA.

In some examples, there can be a one-to-one correlation between thevector register IDs 332 and the map registers 306. For example, thevector register ID 332-1 can be mapped to the map register 306-1, thevector register ID 332-2 can be mapped to the map register 306-2, thevector register ID 332-3 can be mapped to the map register 306-3, . . ., the vector register ID 332-30 can be mapped to the map register306-30, the vector register ID 332-31 can be mapped to the map register306-31, and the vector register ID 332-32 can be mapped to the mapregister 306-32. The example provided in FIG. 3 describes thirty-twovector registers and thirty-two vector register IDs. However, the vectorregisters and/or the vector register IDs should not be limited tothirty-two but can include more or fewer vector registers and/or vectorregister IDs.

In other examples, multiple vector register IDs can be mapped to asingle map register or a vector register ID may not be mapped to one ofthe map registers 306. The mapping of vector register IDs to mapregisters can provide the ability to adapt the ISA to a specificimplementation of vector registers implemented in the memory array 310.

The map registers 306 can store an address corresponding to one of therows of memory cells. For example, the map register 306-1 can store anaddress of the Row 334-2, the map register 306-2 can store an address ofthe Row 334-1, the map register 306-3 can store an address of the Row334-4, . . . , the map register 306-30 can store an address of the Row334-3, the map register 306-31 can store an address of the Row 334-5,and the map register 306-32 can store an address of the Row 334-6.

In some examples, a processing resource local to a bank can receive aplurality of addresses of an array of memory cells of a memory device.The memory addresses can identify memory cells that store vector data.The vector data may have been stored previously in the memory cellshaving the memory addresses.

The processing resource can store the plurality of addresses in aplurality of map registers of the memory device. The processing resourcecan then retrieve a memory address from the plurality of map registers,where the memory address corresponds to a first plurality of memorycells coupled to a plurality of sense lines and an access line whichidentify a Row 334-2 of the memory array 310.

The processing resource can also retrieve a vector instruction from thearray 310 and/or can receive the vector instruction from a host. Theprocessing resource can execute the vector instruction. In someexamples, the vector instruction is executed using data stored in thefirst plurality of memory cells of the array.

In some examples, the vector instruction can be executed using dataextracted from the vector instruction itself. The vector instruction caninclude data as part of the instruction. In other examples, the vectorinstructions can include references to vector registers. The vectorinstructions can also include references to vector registers and caninclude data as part of the vector instructions.

In some instances, a vector instruction can be a move operation and/orcan include performing a move operation to perform the vectorinstruction. A move operation can move data stored in vector register 1to a vector register 2. The vector register 1 can have a vector registeridentifier 332-2 and the vector register 2 can have a vector registeridentifier 332-1. Moving data from vector register 1 to vector register2 can include moving/copying an address stored in map register 306-1 tomap register 306-2.

This example illustrates the savings gained by implementing the vectorregister in rows 334 of the memory array 310. If the vector registerswere implemented without utilizing the memory array, 310 moving datafrom one register to a different register would include moving a vectorof data, which could, for example, include moving 16,384 bits of data.However, implementing the vector registers utilizing rows of the memoryarray 310, a move operation can include moving an address from a mapregister to a different map register. Moving an address between mapregisters may include moving 16 bits, given that a memory address mayexpressed in 16 bits.

In some examples, a processing resource local to a bank can receive avector data. The processing resource can store the vector data in thememory array 310 and can store the corresponding addresses in the mapregisters 306 to build a mapping between the map registers 306 and therows 334 of memory arrays.

Though specific embodiments have been illustrated and described herein,those of ordinary skill in the art will appreciate that an arrangementcalculated to achieve the same results can be substituted for thespecific embodiments shown. This disclosure is intended to coveradaptations or variations of various embodiments of the presentdisclosure. It is to be understood that the above description has beenmade in an illustrative fashion, and not a restrictive one. Combinationsof the above embodiments, and other embodiments not specificallydescribed herein will be apparent to those of skill in the art uponreviewing the above description. The scope of the various embodiments ofthe present disclosure includes other applications in which the abovestructures and methods are used. Therefore, the scope of variousembodiments of the present disclosure should be determined withreference to the appended claims, along with the full range ofequivalents to which such claims are entitled.

In the foregoing Detailed Description, various features are groupedtogether in a single embodiment for the purpose of streamlining thedisclosure. This method of disclosure is not to be interpreted asreflecting an intention that the disclosed embodiments of the presentdisclosure have to use more features than are expressly recited in eachclaim. Rather, as the following claims reflect, inventive subject matterlies in less than all features of a single disclosed embodiment. Thus,the following claims are hereby incorporated into the DetailedDescription, with each claim standing on its own as a separateembodiment.

What is claimed is:
 1. An apparatus, comprising: an array of memorycells, wherein a plurality of rows in the array serve as a plurality ofvector registers as defined by an instruction set architecture; and aprocessing resource configured to: receive a vector registeridentification (ID) of a particular vector register, wherein the vectorregister ID is received from a host processing resource; retrieve, froma table stored in the array of memory cells, a map register ID using thevector register ID; retrieve a memory address of a row of memory cellsfrom a map register having the map register ID, wherein the memoryaddress corresponds to memory cells commonly coupled to a particular rowof the array; and receive vector instructions from the host processingresource, wherein the vector instructions are received to perform aparticular vector operation corresponding to the vector instructions onthe particular vector register and wherein the vector instructions areexecutable by the processing resource and by the host processingresource as defined by the instruction set architecture; extractadditional data from the vector instructions; responsive to receivingthe vector instructions, access data from the particular row of thearray to perform the particular vector operation; responsive toaccessing the particular row of the array, perform the particular vectoroperation on the data accessed from the particular row of the array andthe additional data, extracted from the vector instructions, used asoperands, wherein performing the particular vector operation includesreplacing a memory address, corresponding to the particular row, storedin the map register with a different memory address corresponding to adifferent row of memory cells of the array where results of theparticular vector operation are stored.
 2. The apparatus of claim 1,wherein each row of the plurality of rows comprises a group of memorycells commonly coupled to one of a respective plurality of access linesof the array.
 3. The apparatus of claim 1, wherein the processingresource is a controller and is further configured to execute aplurality of operations utilizing the data accessed from the particularrow.
 4. The apparatus of claim 3, wherein the processing resource isfurther configured to, without transferring the data, accessed from theparticular row, to a host to which the processing resource is coupled:execute the plurality of operations; and cause storing of a result ofthe execution of the plurality of operations in the plurality of rows.5. The apparatus of claim 1, wherein the processing resource is furtherconfigured to map the particular vector register to the particular rowutilizing the map register, wherein the map register stores an addressof the particular row.
 6. The apparatus of claim 1, wherein theprocessing resource is further configured to access the particular rowutilizing the vector register ID corresponding to the particular vectorregister.
 7. The apparatus of claim 6, wherein the vector register ID isdefined by the instruction set architecture.
 8. A method, comprising:receiving, at a memory device, a plurality of memory addresses of anarray of memory cells, wherein the plurality of memory addressescorrespond to respective rows of memory cells from the array of memorycells; storing the plurality of memory addresses in a plurality of mapregisters of the memory device; receiving vector instructions from ahost processing resource to perform a vector operation corresponding tothe vector instructions; extracting additional data from the vectorinstructions; receiving, at the memory device, a vector identification(ID) corresponding to a vector register as defined by an instruction setarchitecture, wherein the vector ID is received from the host processingresource and wherein the host processing resource is external to thememory device; and retrieving, from a table stored in the array ofmemory cells, a map register ID utilizing the vector ID; retrieving, viathe first processing resource, a memory address from a map registerhaving the map register ID, wherein the memory address corresponds to afirst row of the array; accessing, via a second processing resource ofthe memory device, vector data from the first row using the memoryaddress; and executing the vector operation on the vector data and theadditional data wherein the data and the additional data are used asoperands, wherein the vector operation is executed by the secondprocessing resource of the memory device and wherein the secondprocessing resource comprises compute components of sensing circuitry ofthe memory device, and wherein performing the vector operation includesreplacing the memory address, corresponding to the first row, stored inthe map register with a different memory address corresponding to adifferent row of memory cells of the array where results of the vectoroperation are stored.
 9. The method of claim 8, wherein the map registerstores a memory address corresponding to the first row comprising thefirst group of memory cells, which are commonly coupled to an accessline of the array.
 10. The method of claim 9, further comprisingreceiving, at the first processing resource, a request to update thevector register, wherein the request includes a new memory address ofthe array.
 11. The method of claim 10, wherein the new memory addressidentifies a different row designated as the vector register.
 12. Themethod of claim 11, further comprising storing the new memory address inthe map register to map the vector register to the different row. 13.The method of claim 12, wherein the vector register is updated withoutmoving data stored in the first row to the different row.
 14. The methodof claim 8, wherein the plurality of memory addresses is received fromthe host processing resource.
 15. The method of claim 8, wherein thevector operation is executed using the vector data stored in the firstgroup of memory cells and vector data stored in a second group of memorycells of the array, wherein the second group of memory cells are adifferent vector register.
 16. A system, comprising: a host configuredto generate vector register identifications (IDs) and vectorinstructions; and a memory device coupled to the host and comprising: aplurality of map registers to map vector register IDs to rows of anarray of the memory device; and a processing resource configured to:receive a vector register ID from the host; receive vector instructionsfrom the host to perform a vector operation, corresponding to the vectorinstructions, on a particular vector register; extract additional datafrom the vector instructions; cause the vector operation received fromthe host to be executed using the additional data and data stored in arow of the array as operands by: accessing, from a table stored in thearray of memory cells, a map register ID utilizing the vector registerID; accessing a memory address of a row of memory cells from the mapregister, using the map register ID, to determine to which row in thearray the particular vector register currently maps; and accessing therow in the array to which the particular vector register currently maps;wherein the processing resource is further configured to perform anon-vector operation using the additional data and the data stored inthe row of the array as operands by replacing the memory address,corresponding to the row, stored in the map register with a differentmemory address corresponding to a different row of memory cells of thearray where results of the particular vector operation are stored. 17.The system of claim 16, wherein the host is further configured toprovide the vector register ID and the vector instructions via a buscoupling the host to the memory device.
 18. The system of claim 16,wherein host comprises an application processor.
 19. The system of claim18, wherein the host is on a same die as the memory device.
 20. Thesystem of claim 16, wherein a corresponding one of the plurality of mapregisters stores a quantity of bits which are fewer than bits stored inthe particular vector register.